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Semiparametric Regression

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Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models. Author resource page: http://www.stat.tamu.edu/~carroll/semiregbook/

Author(s): David Ruppert, M. P. Wand, R. J. Carroll
Series: Cambridge Series in Statistical and Probabilistic Mathematics
Edition: 1
Publisher: Cambridge University Press
Year: 2003

Language: English
Pages: 404
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;